This study analyzed how ChatGPT responds based on users’ names, investigating potential biases related to cultural, gender, and racial associations. The research found that name-based biases affected responses in less than 0.1% of cases. Older models showed higher rates of gender-related biases, but newer models have significantly reduced these rates.
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